This is a Rust library of arbitrary-precision integers, rational, floating-point, and complex numbers based on GMP, MPFR and MPC.

This package makes it easy to use React in R with htmlwidget scaffolds, helper dependency functions, an embedded Babel transpiler, and examples.

This package provides access to the xylib C library for to import xy data from powder diffraction, spectroscopy and other experimental methods.

This package provides a data structure and toolkit for documenting and recoding categorical data that can be shared in other statistical software.

Rust safe bindings for XCB

Parser for Rust source code

Parser for Rust source code

Parser for implementing terminal emulators

Output graphics to EMF+/EMF.

Emulate MATLAB code using R'.

Certificate transparency SCT verification library.

Certificate transparency SCT verification library.

Certificate transparency SCT verification library.

Certificate transparency SCT verification library.

Create and combine HTML and PDF reports from within R. Possibility to design tables and listings for reporting and also include R plots.

R wrapper for the JPMML-R library <https://github.com/jpmml/jpmml-r>, which converts R models to Predictive Model Markup Language (PMML).

Handle JSON-stat format (<https://json-stat.org>) in R. Not all features are supported, especially the extensive metadata features of JSON-stat'.

This package provides an interface to the OAuth 1.0 specification allowing users to authenticate via OAuth to the server of their choice.

This package provides tools for generating descriptives and report tables for different models, data.frames and tables and exporting them to different formats.

This package provides a programmatic interface to the Species+ <https://speciesplus.net/> database via the Species+/CITES Checklist API <https://api.speciesplus.net/>.

This package provides R implementations of generalized survival models (GSMs), smooth accelerated failure time (AFT) models and Markov multi-state models.

Read, write and manipulate Praat TextGrid, PitchTier, Pitch, IntensityTier, Formant, Sound, and Collection files <https://www.fon.hum.uva.nl/praat/>.

This package performs the random heteroscedastic nested error regression model described in Kubokawa, Sugasawa, Ghosh and Chaudhuri (2016) <doi:10.5705/ss.202014.0070>.

This package provides a simple R -> Stata interface allowing the user to execute Stata commands (both inline and from a .do file) from R.